Random Number Simulations Reveal How Random Noise Affects the Measurements and Graphical Portrayals of Self-Assessed Competency

Random Number Simulations Reveal How Random Noise Affects the Measurements and Graphical Portrayals of Self-Assessed Competency

Self-assessment measures of competency are blends of an authentic self-assessment signal that researchers seek to measure and random disorder or "noise" that accompanies that signal. In this study, we use random number simulations to explore how random noise affects critical aspects of sel...

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Bibliographic Details
Main Authors: Edward Nuhfer, Christopher Cogan, Steven Fleisher, Eric Gaze, Karl Wirth
Format: Article
Language:English
Published: National Numeracy Network 2016-01-01
Series:Numeracy
Subjects:
self-assessment
Dunning-Kruger Effect
knowledge surveys
reliability
graphs
numeracy
random number simulation
noise
signal
Online Access:http://scholarcommons.usf.edu/numeracy/vol9/iss1/art4/

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